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Unlike lifetime optimization in [26], the authors proposed a solution to provide convex lifetime optimization.
Figure 8 Joint sensing and communication range of Type 1 sensors for lifetime optimization.
In this article, we addressed the problem of network lifetime optimization for such heterogeneous networks.
Treating both system reliability and redundancy as criteria in the lifetime optimization process can be highly rewarding.
Therefore, a node can operate up to 180 days using partitioning approach, which translates into approximately 80.00% improvement compared to WSNs lifetime optimization.
The efficiency of the proposed model is compared against the node density control [24], the upper bounds of the lifetime [25], and network lifetime optimization in WVSNs [26, 27].
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It is still needed, however, to incorporate redundancy in the lifetime maintenance optimization process.
Lifetime maintenance optimization based on system reliability has already been proposed.
The lifetime probabilistic optimization is formulated at the cross-sectional level and is aimed to minimize the material cost under a time-dependent constraint on the structural reliability.
In order to reduce frame redundant weight caused by the traditional experience design and delay the crack initiation occurrences at local positions during early service period, a structural weight and lifetime co-optimization method for frame of a mining dump truck based on Kriging approximation model was proposed.
Fig. 13 Maximum lifetime under integer optimization (1) upper-bounded lifetime, (2) node-density control, (3) WSNs optimization algorithms, (4) partitioning multipath approach.
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